Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
Researcher
- Isabelle Snyder
- Emilio Piesciorovsky
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Alexander I Wiechert
- Alex Roschli
- Ali Riza Ekti
- Costas Tsouris
- Debangshu Mukherjee
- Elizabeth Piersall
- Erin Webb
- Eve Tsybina
- Evin Carter
- Gary Hahn
- Gs Jung
- Gyoung Gug Jang
- Jeremy Malmstead
- Kitty K Mccracken
- Md Inzamam Ul Haque
- Nils Stenvig
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Ozgur Alaca
- Radu Custelcean
- Raymond Borges Hink
- Soydan Ozcan
- Subho Mukherjee
- Tyler Smith
- Viswadeep Lebakula
- Vivek Sujan
- Xianhui Zhao
- Yarom Polsky

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

A novel system for validating intelligent electronic devices (IEDs) in power systems using real-time simulation, reducing costs by eliminating amplifiers.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.